AI Architect with RAG

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description: AI Architect with RAG

Location : Plano TX (Hybrid)

Experience Level: 8 years (with at least 2 years in GenAI / LLM-based solution design)

About the Role

We are seeking a RAG Architect to lead the design development and optimization of Retrieval-Augmented Generation (RAG) systems that integrate LLMs (Large Language Models) with enterprise data sources. The ideal candidate will combine expertise in AI architecture data retrieval vector databases and LLM integration to build scalable secure and high-performing GenAI solutions.

Key Responsibilities

Design and architect end-to-end RAG systems integrating LLMs with structured and unstructured data sources.

Define and implement document ingestion chunking embedding and retrieval pipelines.

Evaluate and select vector databases (e.g. Pinecone Milvus FAISS Chroma Weaviate) and optimize retrieval performance.

Collaborate with data engineering and ML teams to design data indexing caching and query optimization strategies.

Integrate LLMs (OpenAI Anthropic Gemini Llama etc.) with enterprise backends through APIs or custom frameworks.

Implement prompt engineering context management and grounding techniques for accuracy and reliability.

Ensure compliance with data governance privacy and security standards.

Lead PoCs and pilots for RAG use cases such as chatbots document summarization knowledge assistants and search systems.

Define MLOps / LLMOps practices for monitoring evaluation and model lifecycle management.

Stay current with advancements in GenAI frameworks (LangChain LlamaIndex Haystack etc.) and emerging best practices.

Required Skills & Experience

Proven experience designing or deploying RAG or LLM-based applications.

Strong proficiency in Python with experience in libraries like LangChain LlamaIndex Haystack or semantic search frameworks.

Deep understanding of vector embeddings semantic search and information retrieval principles.

Experience with cloud AI services (Azure OpenAI AWS Bedrock Google Vertex AI etc.).

Familiarity with data processing pipelines and API integration (REST GraphQL).

Good understanding of prompt engineering fine-tuning and model evaluation techniques.

Knowledge of Docker/Kubernetes Git and CI/CD pipelines.

Excellent communication and documentation skills to explain technical concepts to business stakeholders.

Preferred Qualifications

Experience with enterprise-scale AI/ML system design.

Knowledge of data security frameworks (PII masking RBAC encryption).

Exposure to multi-modal RAG (text image audio retrieval).

Contributions to open-source RAG or GenAI frameworks.

Education

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Engineering or a related field

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.

Job Description: AI Architect with RAG Location : Plano TX (Hybrid) Experience Level: 8 years (with at least 2 years in GenAI / LLM-based solution design) About the Role We are seeking a RAG Architect to lead the design development and optimization of Retrieval-Augmented Generation (RAG) system...